You can deploy this model and start earning money today!

SatvikG7/
OpenNEP-Mistral-7B-Instruct-v0.2-GPTQ-ft

Name: OpenNEP-Mistral-7B-Instruct-v0.2-GPTQ-ft
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

question-answering

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

adapter

apache-2.0

Views

No views yet

OpenNEP-Mistral-7B-Instruct-v0.2-GPTQ-ft

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3966

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.6476	0.9231	9	1.4790
1.3585	1.9487	19	1.4108
1.3006	2.9744	29	1.3998
1.2783	4.0	39	1.3972
1.2946	4.6154	45	1.3966

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

SatvikG7/OpenNEP-Mistral-7B-Instruct-v0.2-GPTQ-ft

OpenNEP-Mistral-7B-Instruct-v0.2-GPTQ-ft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

SatvikG7/
OpenNEP-Mistral-7B-Instruct-v0.2-GPTQ-ft